01942nam 2200421z- 450 991034675800332120210211(CKB)4920000000094134(oapen)https://directory.doabooks.org/handle/20.500.12854/53292(oapen)doab53292(EXLCZ)99492000000009413420202102d2018 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierMetastable Dynamics of Neural EnsemblesFrontiers Media SA20181 online resource (152 p.)Frontiers Research Topics2-88945-437-1 A classical view of neural computation is that it can be characterized in terms of convergence to attractor states or sequential transitions among states in a noisy background. After over three decades, is this still a valid model of how brain dynamics implements cognition? This book provides a comprehensive collection of recent theoretical and experimental contributions addressing the question of stable versus transient neural population dynamics from complementary angles. These studies showcase recent efforts for designing a framework that encompasses the multiple facets of metastability in neural responses, one of the most exciting topics currently in systems and computational neuroscience.NeurosciencesbicsscAttractor DynamicsMetastabilityNeural NoiseTransient DynamicsTrial-to-trial VariabilityNeurosciencesEmili Balaguer-Ballesterauth1317910Ruben Moreno-BoteauthGustavo DecoauthDaniel DurstewitzauthBOOK9910346758003321Metastable Dynamics of Neural Ensembles3033081UNINA